20 Best Natural Language Processing Ebooks [2024]

Are you looking for the best natural language processing ebooks? Based on expert reviews, we ranked them. We've listed our top-ranked picks, including the top-selling natural language processing ebooks.

We Recommended:

# Preview Product
1 Practical Natural Language Processing: A Comprehensive Guide to Building Real-World NLP Systems Practical Natural Language Processing: A Comprehensive Guide to Building Real-World NLP Systems
2 Natural Language Processing with Python: Analyzing Text with the Natural Language Toolkit Natural Language Processing with Python: Analyzing Text with the Natural Language Toolkit
3 Natural Language Processing in Action: Understanding, analyzing, and generating text with Python Natural Language Processing in Action: Understanding, analyzing, and generating text with Python
4 Natural Language Processing with AWS AI Services: Derive strategic insights from unstructured data... Natural Language Processing with AWS AI Services: Derive strategic insights from unstructured...
5 Getting Started with Google BERT: Build and train state-of-the-art natural language processing... Getting Started with Google BERT: Build and train state-of-the-art natural language processing...
6 Applied Natural Language Processing with Python: Implementing Machine Learning and Deep Learning... Applied Natural Language Processing with Python: Implementing Machine Learning and Deep Learning...
7 The Natural Language Processing Workshop: Confidently design and build your own NLP projects with... The Natural Language Processing Workshop: Confidently design and build your own NLP projects with...
8 Advanced Natural Language Processing with TensorFlow 2: Build effective real-world NLP applications... Advanced Natural Language Processing with TensorFlow 2: Build effective real-world NLP...
9 Natural Language Processing with PyTorch: Build Intelligent Language Applications Using Deep... Natural Language Processing with PyTorch: Build Intelligent Language Applications Using Deep...
10 Foundations of Statistical Natural Language Processing Foundations of Statistical Natural Language Processing
11 Building Natural Language Generation Systems (Studies in Natural Language Processing) Building Natural Language Generation Systems (Studies in Natural Language Processing)
12 Real-World Natural Language Processing: Practical applications with deep learning Real-World Natural Language Processing: Practical applications with deep learning
13 Learning Deep Learning: Theory and Practice of Neural Networks, Computer Vision, Natural Language... Learning Deep Learning: Theory and Practice of Neural Networks, Computer Vision, Natural Language...
14 Natural Language Processing Projects: Build Next-Generation NLP Applications Using AI Techniques Natural Language Processing Projects: Build Next-Generation NLP Applications Using AI Techniques
15 Transfer Learning for Natural Language Processing Transfer Learning for Natural Language Processing
16 Python Natural Language Processing Cookbook: Over 50 recipes to understand, analyze, and generate... Python Natural Language Processing Cookbook: Over 50 recipes to understand, analyze, and generate...
17 Applied Natural Language Processing in the Enterprise: Teaching Machines to Read, Write, and... Applied Natural Language Processing in the Enterprise: Teaching Machines to Read, Write, and...
18 Transformers for Natural Language Processing: Build innovative deep neural network architectures for... Transformers for Natural Language Processing: Build innovative deep neural network architectures...
19 Text Analytics with Python: A Practitioner's Guide to Natural Language Processing Text Analytics with Python: A Practitioner's Guide to Natural Language Processing
20 Representation Learning for Natural Language Processing Representation Learning for Natural Language Processing
Bestseller No. 1
Practical Natural Language Processing: A Comprehensive Guide to Building Real-World NLP Systems
  • Amazon Kindle Edition
  • Vajjala, Sowmya (Author)
  • English (Publication Language)
  • 549 Pages - 06/17/2020 (Publication Date) - O'Reilly Media (Publisher)
Bestseller No. 2
Natural Language Processing with Python: Analyzing Text with the Natural Language Toolkit
  • Amazon Kindle Edition
  • Bird, Steven (Author)
  • English (Publication Language)
  • 903 Pages - 06/12/2009 (Publication Date) - O'Reilly Media (Publisher)
Bestseller No. 3
Natural Language Processing in Action: Understanding, analyzing, and generating text with Python
  • Amazon Kindle Edition
  • Hapke, Hannes (Author)
  • English (Publication Language)
  • 1114 Pages - 03/16/2019 (Publication Date) - Manning (Publisher)
Bestseller No. 4
Natural Language Processing with AWS AI Services: Derive strategic insights from unstructured data...
  • Amazon Kindle Edition
  • M, Mona (Author)
  • English (Publication Language)
  • 508 Pages - 11/26/2021 (Publication Date) - Packt Publishing (Publisher)
Bestseller No. 5
Getting Started with Google BERT: Build and train state-of-the-art natural language processing...
  • Amazon Kindle Edition
  • Ravichandiran, Sudharsan (Author)
  • English (Publication Language)
  • 352 Pages - 01/22/2021 (Publication Date) - Packt Publishing (Publisher)
Bestseller No. 6
Applied Natural Language Processing with Python: Implementing Machine Learning and Deep Learning...
  • Amazon Kindle Edition
  • Beysolow II, Taweh (Author)
  • English (Publication Language)
  • 179 Pages - 09/11/2018 (Publication Date) - Apress (Publisher)
Bestseller No. 7
The Natural Language Processing Workshop: Confidently design and build your own NLP projects with...
  • Amazon Kindle Edition
  • Chopra, Rohan (Author)
  • English (Publication Language)
  • 510 Pages - 08/17/2020 (Publication Date) - Packt Publishing (Publisher)
Bestseller No. 8
Advanced Natural Language Processing with TensorFlow 2: Build effective real-world NLP applications...
  • Amazon Kindle Edition
  • Bansal, Ashish (Author)
  • English (Publication Language)
  • 380 Pages - 02/04/2021 (Publication Date) - Packt Publishing (Publisher)
Bestseller No. 9
Natural Language Processing with PyTorch: Build Intelligent Language Applications Using Deep...
  • Amazon Kindle Edition
  • Rao, Delip (Author)
  • English (Publication Language)
  • 373 Pages - 01/22/2019 (Publication Date) - O'Reilly Media (Publisher)
Bestseller No. 10
Foundations of Statistical Natural Language Processing
  • Amazon Kindle Edition
  • Manning, Christopher (Author)
  • English (Publication Language)
  • 822 Pages - 05/28/1999 (Publication Date) - The MIT Press (Publisher)
Bestseller No. 11
Building Natural Language Generation Systems (Studies in Natural Language Processing)
  • Amazon Kindle Edition
  • Reiter, Ehud (Author)
  • English (Publication Language)
  • 272 Pages - 01/28/2000 (Publication Date) - Cambridge University Press (Publisher)
Bestseller No. 12
Real-World Natural Language Processing: Practical applications with deep learning
  • Amazon Kindle Edition
  • Hagiwara, Masato (Author)
  • English (Publication Language)
  • 620 Pages - 12/21/2021 (Publication Date) - Manning (Publisher)
Bestseller No. 13
Learning Deep Learning: Theory and Practice of Neural Networks, Computer Vision, Natural Language...
  • Amazon Kindle Edition
  • Ekman, Magnus (Author)
  • English (Publication Language)
  • 752 Pages - 07/19/2021 (Publication Date) - Addison-Wesley Professional (Publisher)
Bestseller No. 14
Natural Language Processing Projects: Build Next-Generation NLP Applications Using AI Techniques
  • Amazon Kindle Edition
  • Kulkarni, Akshay (Author)
  • English (Publication Language)
  • 403 Pages - 12/03/2021 (Publication Date) - Apress (Publisher)
Bestseller No. 15
Transfer Learning for Natural Language Processing
  • Amazon Kindle Edition
  • Azunre, Paul (Author)
  • English (Publication Language)
  • 263 Pages - 08/31/2021 (Publication Date) - Manning (Publisher)
Bestseller No. 16
Python Natural Language Processing Cookbook: Over 50 recipes to understand, analyze, and generate...
  • Amazon Kindle Edition
  • Antić, Zhenya (Author)
  • English (Publication Language)
  • 284 Pages - 03/19/2021 (Publication Date) - Packt Publishing (Publisher)
Bestseller No. 17
Applied Natural Language Processing in the Enterprise: Teaching Machines to Read, Write, and...
  • Amazon Kindle Edition
  • Patel, Ankur A. (Author)
  • English (Publication Language)
  • 531 Pages - 05/12/2021 (Publication Date) - O'Reilly Media (Publisher)
Bestseller No. 18
Transformers for Natural Language Processing: Build innovative deep neural network architectures for...
  • Amazon Kindle Edition
  • Rothman, Denis (Author)
  • English (Publication Language)
  • 384 Pages - 01/29/2021 (Publication Date) - Packt Publishing (Publisher)
Bestseller No. 19
Text Analytics with Python: A Practitioner's Guide to Natural Language Processing
  • Amazon Kindle Edition
  • Sarkar, Dipanjan (Author)
  • English (Publication Language)
  • 702 Pages - 05/21/2019 (Publication Date) - Apress (Publisher)
Bestseller No. 20
Representation Learning for Natural Language Processing
  • Amazon Kindle Edition
  • Liu, Zhiyuan (Author)
  • English (Publication Language)
  • 358 Pages - 07/03/2020 (Publication Date) - Springer (Publisher)

Having trouble finding a great natural language processing ebooks?

This problem is well understood by us because we have gone through the entire natural language processing ebooks research process ourselves, which is why we have put together a comprehensive list of the best natural language processing ebookss available in the market today.

After hours of searching and using all the models on the market, we have found the best natural language processing ebooks for 2023. See our ranking below!

How Do You Buy The Best Natural Language Processing Ebooks?

Do you get stressed out thinking about shopping for a great natural language processing ebooks? Do doubts keep creeping into your mind?

We understand, because we’ve already gone through the whole process of researching natural language processing ebooks, which is why we have assembled a comprehensive list of the greatest natural language processing ebooks available in the current market. We’ve also come up with a list of questions that you probably have yourself.

John Harvards has done the best we can with our thoughts and recommendations, but it’s still crucial that you do thorough research on your own for natural language processing ebooks that you consider buying. Your questions might include the following:

  • Is it worth buying an natural language processing ebooks?
  • What benefits are there with buying an natural language processing ebooks?
  • What factors deserve consideration when shopping for an effective natural language processing ebooks?
  • Why is it crucial to invest in any natural language processing ebooks, much less the best one?
  • Which natural language processing ebooks are good in the current market?
  • Where can you find information like this about natural language processing ebooks?

We’re convinced that you likely have far more questions than just these regarding natural language processing ebooks, and the only real way to satisfy your need for knowledge is to get information from as many reputable online sources as you possibly can.

Potential sources can include buying guides for natural language processing ebooks, rating websites, word-of-mouth testimonials, online forums, and product reviews. Thorough and mindful research is crucial to making sure you get your hands on the best-possible natural language processing ebooks. Make sure that you are only using trustworthy and credible websites and sources.

John Harvards provides an natural language processing ebooks buying guide, and the information is totally objective and authentic. We employ both AI and big data in proofreading the collected information.

How did we create this buying guide? We did it using a custom-created selection of algorithms that lets us manifest a top-10 list of the best available natural language processing ebooks currently available on the market.

This technology we use to assemble our list depends on a variety of factors, including but not limited to the following:

  1. Brand Value: Every brand of natural language processing ebooks has a value all its own. Most brands offer some sort of unique selling proposition that’s supposed to bring something different to the table than their competitors.
  2. Features: What bells and whistles matter for an natural language processing ebooks?
  3. Specifications: How powerful they are can be measured.
  4. Product Value: This simply is how much bang for the buck you get from your natural language processing ebooks.
  5. Customer Ratings: Number ratings grade natural language processing ebooks objectively.
  6. Customer Reviews: Closely related to ratings, these paragraphs give you first-hand and detailed information from real-world users about their natural language processing ebooks.
  7. Product Quality: You don’t always get what you pay for with an natural language processing ebooks, sometimes less, and sometimes more.
  8. Product Reliability: How sturdy and durable an natural language processing ebooks is should be an indication of how long it will work out for you.

John Harvards always remembers that maintaining natural language processing ebooks information to stay current is a top priority, which is why we are constantly updating our websites. Learn more about us using online sources.

If you think that anything we present here regarding natural language processing ebooks is irrelevant, incorrect, misleading, or erroneous, then please let us know promptly!

FAQ:

Q: What are the best books on natural language processing?

A: Top Practical Books on Natural Language Processing 1 Natural Language Processing with Python#N#Written by Steven Bird, Ewan Klein and Edward Loper.#N#Natural Language… 2 Taming Text#N#This book provides an introduction to a suite of different NLP tools and problems, such as Apache Solr,… 3 Text Mining with R More …

Q: Why study natural language processing?

A: As momentum for machine learning and artificial intelligence accelerates, natural language processing (NLP) plays a more prominent role in bridging computer and human communication. Increased attention with NLP means more online resources are available, but sometimes a good book is needed to get grounded in a subject this complex and multi-faceted.

Q: What is the best book for NLP in Python?

A: Natural Language Processing with Python. Written by Steven Bird, Ewan Klein and Edward Loper. This book provides an introduction to NLP using the Python stack for practitioners. The book focuses on using the NLTK Python library, which is very popular for common NLP tasks. Contents include: Language Processing and Python.

Q: What is natural language programming (NLP)?

A: Natural Language Programming or NLP has enabled computers to interpret human language that has further opened doors to new innovation. Due to this very reason, the interest to learn more about the subject has increased in recent years, and as they say, books are the best place to gather knowledge from.

Related Post: